An Integrated Sensor Network for Precision Agriculture: Design, Implementation, and Performance Evaluation of a Multi-Parameter Soil and Weather Monitoring System

Abstract

Precision agriculture leverages advanced technologies to optimize crop production, minimize resource use, and reduce environmental impact. This paper presents the design, implementation, and performance evaluation of an integrated sensor network for multi-parameter soil and weather monitoring in precision agriculture. The system combines various sensors for soil moisture, temperature, pH, and weather conditions, providing real-time data to farmers for informed decision-making. The performance evaluation demonstrates the system's reliability, accuracy, and potential benefits in enhancing agricultural productivity and sustainability. The proposed system monitors multiple soil and weather parameters, including temperature, humidity, pH, nutrient levels, and precipitation. The sensor network consists of wireless sensor nodes, a gateway, and a cloud-based server. Experimental results show high accuracy and reliability in monitoring soil and weather conditions, enabling data- driven decision-making for optimal crop management.